数控车削加工中的刀具选择与间隙补偿研究

付小红

现代工业与技术 ›› 2025, Vol. 2 ›› Issue (1) : 43 -45.

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现代工业与技术 ›› 2025, Vol. 2 ›› Issue (1) : 43 -45. DOI: 10.12349/mit.v2i1.5738

数控车削加工中的刀具选择与间隙补偿研究

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Study on tool selection and clearance compensation in CNC turning

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摘要

在数控车削加工过程中,精度和表面质量是评价其效果的关键指标。本文以实证研究的方法,探索了优化数控车削加工精度和表面质量的策略。通过对车削参数如切削速度、进给速度和切削深度等进行合理调整,以及结合目标优化算法,成功找寻了达到精度与表面质量协同优化的具体操作方案。研究发现,通过减小切削速度,提高进给速度和取适当的切削深度,可以在保证加工效率的同时,显著提高车削工件的维度精度和表面粗糙度。此外,采用优化算法能进一步提升加工精度,优化后的表面质量提升幅度可达30%。此研究对于提高数控车削加工效率与质量具有重要指导意义,为生产实践中车削参数的优选提供了理论参考。

Abstract

In the process of CNC turning, accuracy and surface quality are key indicators for evaluating its effectiveness. This paper explores strategies to optimize the precision and surface quality of CNC turning through empirical research methods. By reasonably adjusting parameters such as cutting speed, feed rate, and depth of cut, and combining them with target optimization algorithms, specific operational solutions have been successfully found to achieve coordinated optimization of precision and surface quality. The study finds that by reducing the cutting speed, increasing the feed rate, and selecting an appropriate depth of cut, it is possible to significantly improve the dimensional accuracy and surface roughness of turned parts while maintaining processing efficiency. Furthermore, using optimization algorithms can further enhance processing accuracy, with the improvement in surface quality reaching up to 30%. This research has significant guiding significance for improving the efficiency and quality of CNC turning processes and provides theoretical references for optimizing turning parameters in practical production.

关键词

数控车削加工 / 精度优化 / 表面质量 / 切削参数 / 目标优化算法

Key words

CNC turning processing / precision optimization / surface quality / cutting parameters / target optimization algorithm

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付小红. 数控车削加工中的刀具选择与间隙补偿研究[J]. 现代工业与技术, 2025, 2(1): 43-45 DOI:10.12349/mit.v2i1.5738

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参考文献

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张伟. 影响加工表面质量的因素及优化措施[J]. 内燃机与配件, 2021,(18).

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蒋毅. 数控车床加工表面质量分析[J]. 南北桥, 2021,(13).

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冯利章. 基于蜂群算法的数控车削加工工艺参数优化方法[J]. 电气传动自动化, 2023, 45(03).

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